Web page classification using n-gram based URL features

  title={Web page classification using n-gram based URL features},
  author={Ramachandran Rajalakshmi and Chandrabose Aravindan},
  journal={2013 Fifth International Conference on Advanced Computing (ICoAC)},
Exponential increase in the number of web pages in the World Wide Web poses a great challenge in information filtering and also makes topic focused crawling a time consuming process in searching for relevant information. We propose an URL based web page classification method that does not need either the web page content or its link structure. In the proposed approach, character n-gram based features are extracted from URLs alone and classification is done by Support Vector Machines and Maximum… CONTINUE READING
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